A LABEL-FREE METHOD AND SYSTEM FOR MEASURING DRUG RESPONSE KINETICS OF THREE-DIMENSIONAL CELLULAR STRUCTURES

摘要

Disclosed herein are methods of providing a computational model for predicting an activity of a test agent with respect to a 3D cell structure, such as spheroid, organoid and tumorsphere. Specifically, machine learning algorithm is employed to generate a quantitative model of drug response in the 3D cell structure using zone-specific image features, wherein the zones comprise a necrotic zone, a quiescent zone, and a proliferating zone. Also disclosed herein are label-free prediction methods using such computational model and a device configured to perform the methods as disclosed herein.